Re: [R] building compiled help html files
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[R] Help with sample size calculation for inter-rater reliability study
Dear R masters, I am attempting to calculate the sample size for an inter-rater reliability study using the N2.cohen.kappa function of the irr package. It is a study of 2 raters for a single item with three possible ordinal outcomes. The expected marginal probabilities for those outcomes are 0.2, 0.6 and 0.2. The null hypothesis is that kappa < 0.8 The alternative hypotheis is kappa >=0.8 The following example comes from the irr package manual require(lpSolve) # Testing H0: kappa = 0.4 vs. HA: kappa > 0.4 (=0.6) given that # Marginal Probabilities by two raters are (0.2, 0.25, 0.55). # # one sided test with 80% power: N2.cohen.kappa(c(0.2, 0.25, 0.55), k1=0.6, k0=0.4) # one sided test with 90% power: N2.cohen.kappa(c(0.2, 0.25, 0.55), k1=0.6, k0=0.4, power=0.9) # Marginal Probabilities by two raters are (0.2, 0.05, 0.2, 0.05, 0.2, 0.3) # Testing H0: kappa = 0.1 vs. HA: kappa > 0.1 (=0.5) given that # # one sided test with 80% power: N2.cohen.kappa(c(0.2, 0.05, 0.2, 0.05, 0.2, 0.3), k1=0.5, k0=0.1) In my case I would be testing H0: kappa < 0.8 vs HA: kappa >= 08 given Marginal probabilities by two raters as (0.2, 0.6, 0.2) However the following argument will not work N2.cohen.kappa (mrg=c(0.2,0.6,0.2), k1>=0.8, k0<0.8, alpha=0.05, power= 0.8, twosided=FALSE) I have also tried the kappaSize package without success Power3Cats(kappa0<0.8, kappa1>=0.8, props=c(0.2,0.6,0.2), raters=2, alpha=0.05, power=0.80) Can anyone offer me some guidance? Best regards, Edison [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] (sem assunto)
I have been searching without success to find out how to test for the assumption of linear relationship between the indenpendent variables and the logit of the dependent variable in multiple logistic regression models using R. I shall be glad for any advice. best regards, Edison Iglesias de Oliveira Vidal, MD Home Care Department, Hospital Israelita Albert Einstein São Paulo, Brazil _ Cansado de espaço para só 50 fotos? Conheça o Spaces, o site de relac[[elided trailing spam]] [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
